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Andrea Ponti
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Year
A new evolutionary approach to optimal sensor placement in water distribution networks
A Ponti, A Candelieri, F Archetti
Water 13 (12), 1625, 2021
182021
A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement
A Ponti, A Candelieri, F Archetti
Intelligent Systems with Applications 10, 200047, 2021
162021
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization
A Candelieri, A Ponti, F Archetti
Machine Learning, 1-31, 2024
122024
Modelling human active search in optimizing black-box functions
A Candelieri, R Perego, I Giordani, A Ponti, F Archetti
Soft Computing 24 (23), 17771-17785, 2020
102020
A novel graph-based vulnerability metric in urban network infrastructures: The case of water distribution networks
A Ponti, A Candelieri, I Giordani, F Archetti
Water 13 (11), 1502, 2021
92021
Uncertainty quantification and exploration–exploitation trade-off in humans
A Candelieri, A Ponti, F Archetti
Journal of Ambient Intelligence and Humanized Computing, 1-34, 2023
72023
Probabilistic measures of edge criticality in graphs: a study in water distribution networks
A Ponti, A Candelieri, I Giordani, F Archetti
Applied Network Science 6 (1), 81, 2021
62021
Distributional learning in multi-objective optimization of recommender systems
A Candelieri, A Ponti, I Giordani, A Bosio, F Archetti
Journal of Ambient Intelligence and Humanized Computing 14 (8), 10849-10865, 2023
42023
On the use of Wasserstein distance in the distributional analysis of human decision making under uncertainty
A Candelieri, A Ponti, I Giordani, F Archetti
Annals of Mathematics and Artificial Intelligence 91 (2), 217-238, 2023
42023
Risk aware optimization of water sensor placement
A Candelieri, A Ponti, F Archetti
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
42021
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
A Candelieri, A Ponti, F Archetti
arXiv preprint arXiv:2212.01310, 2022
32022
Wasserstein enabled Bayesian optimization of composite functions
A Candelieri, A Ponti, F Archetti
Journal of Ambient Intelligence and Humanized Computing 14 (8), 11263-11271, 2023
22023
Explaining Exploration–Exploitation in Humans
A Candelieri, A Ponti, F Archetti
Big Data and Cognitive Computing 6 (4), 155, 2022
22022
The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores
A Ponti, I Giordani, M Mistri, A Candelieri, F Archetti
Big Data and Cognitive Computing 6 (4), 138, 2022
22022
Bayesian optimization in Wasserstein spaces
A Candelieri, A Ponti, F Archetti
International Conference on Learning and Intelligent Optimization, 248-262, 2022
22022
Lost in optimization of water distribution systems: better call Bayes
A Candelieri, A Ponti, I Giordani, F Archetti
Water 14 (5), 800, 2022
22022
Data efficient learning of implicit control strategies in Water Distribution Networks
A Candelieri, A Ponti, F Archetti
2021 IEEE 17th International Conference on Automation Science and …, 2021
22021
Wasserstein-Enabled Leaks Localization in Water Distribution Networks
A Ponti, I Giordani, A Candelieri, F Archetti
Water 16 (3), 412, 2024
12024
A Bayesian approach for prompt optimization in pre-trained language models
A Sabbatella, A Ponti, A Candelieri, I Giordani, F Archetti
arXiv preprint arXiv:2312.00471, 2023
12023
Intrusion Detection in Networks by Wasserstein Enabled Many-Objective Evolutionary Algorithms
A Ponti, A Candelieri, I Giordani, F Archetti
Mathematics 11 (10), 2342, 2023
12023
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